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dc.contributor.authorBaker, David
dc.contributor.authorTing, Alice Y.
dc.contributor.authorLiu, Daniel S.
dc.contributor.authorNivon, Lucas G.
dc.contributor.authorRichter, Florian
dc.contributor.authorGoldman, Peter J.
dc.contributor.authorYao, Jennifer Z.
dc.contributor.authorPhipps, William S.
dc.contributor.authorYe, Anne Z.
dc.contributor.authorDeerinck, Thomas J.
dc.contributor.authorRichardson, Douglas
dc.contributor.authorEllisman, Mark H.
dc.contributor.authorDrennan, Catherine L
dc.date.accessioned2015-04-01T15:48:59Z
dc.date.available2015-04-01T15:48:59Z
dc.date.issued2014-10
dc.date.submitted2014-03
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/96304
dc.description.abstractChemical fluorophores offer tremendous size and photophysical advantages over fluorescent proteins but are much more challenging to target to specific cellular proteins. Here, we used Rosetta-based computation to design a fluorophore ligase that accepts the red dye resorufin, starting from Escherichia coli lipoic acid ligase. X-ray crystallography showed that the design closely matched the experimental structure. Resorufin ligase catalyzed the site-specific and covalent attachment of resorufin to various cellular proteins genetically fused to a 13-aa recognition peptide in multiple mammalian cell lines and in primary cultured neurons. We used resorufin ligase to perform superresolution imaging of the intermediate filament protein vimentin by stimulated emission depletion and electron microscopies. This work illustrates the power of Rosetta for major redesign of enzyme specificity and introduces a tool for minimally invasive, highly specific imaging of cellular proteins by both conventional and superresolution microscopies.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant DP1 OD003961)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (R01 GM072670)en_US
dc.description.sponsorshipAmerican Chemical Societyen_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1404736111en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceNational Academy of Sciences (U.S.)en_US
dc.titleComputational design of a red fluorophore ligase for site-specific protein labeling in living cellsen_US
dc.typeArticleen_US
dc.identifier.citationLiu, D. S., L. G. Nivon, F. Richter, P. J. Goldman, T. J. Deerinck, J. Z. Yao, D. Richardson, et al. “Computational Design of a Red Fluorophore Ligase for Site-Specific Protein Labeling in Living Cells.” Proceedings of the National Academy of Sciences 111, no. 43 (October 13, 2014): E4551–E4559.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.contributor.mitauthorDrennan, Catherine L.en_US
dc.contributor.mitauthorTing, Alice Y.en_US
dc.contributor.mitauthorLiu, Daniel S.en_US
dc.contributor.mitauthorYao, Jennifer Z.en_US
dc.contributor.mitauthorPhipps, William S.en_US
dc.contributor.mitauthorYe, Anne Z.en_US
dc.contributor.mitauthorGoldman, Peter J.en_US
dc.relation.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLiu, D. S.; Nivon, L. G.; Richter, F.; Goldman, P. J.; Deerinck, T. J.; Yao, J. Z.; Richardson, D.; Phipps, W. S.; Ye, A. Z.; Ellisman, M. H.; Drennan, C. L.; Baker, D.; Ting, A. Y.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5486-2755
dc.identifier.orcidhttps://orcid.org/0000-0002-8277-5226
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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